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    <title>DEV Community: Alok Pandey</title>
    <description>The latest articles on DEV Community by Alok Pandey (@wildoctopus).</description>
    <link>https://dev.to/wildoctopus</link>
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      <title>DEV Community: Alok Pandey</title>
      <link>https://dev.to/wildoctopus</link>
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      <title>Deep Learning Training Playbook: Turning Research Papers into Engineering Decisions</title>
      <dc:creator>Alok Pandey</dc:creator>
      <pubDate>Mon, 03 Aug 2026 12:49:37 +0000</pubDate>
      <link>https://dev.to/wildoctopus/deep-learning-training-playbook-turning-research-papers-into-engineering-decisions-3k9d</link>
      <guid>https://dev.to/wildoctopus/deep-learning-training-playbook-turning-research-papers-into-engineering-decisions-3k9d</guid>
      <description>&lt;p&gt;Deep Learning is evolving faster than ever.&lt;/p&gt;

&lt;p&gt;Every week we see new techniques:&lt;/p&gt;

&lt;ul&gt;
&lt;li&gt;LoRA&lt;/li&gt;
&lt;li&gt;QLoRA&lt;/li&gt;
&lt;li&gt;RAG&lt;/li&gt;
&lt;li&gt;Foundation Models&lt;/li&gt;
&lt;li&gt;Mamba&lt;/li&gt;
&lt;li&gt;Diffusion Models&lt;/li&gt;
&lt;/ul&gt;

&lt;p&gt;But one question is still difficult:&lt;/p&gt;

&lt;blockquote&gt;
&lt;p&gt;&lt;strong&gt;Which technique should I choose for my problem?&lt;/strong&gt;&lt;/p&gt;
&lt;/blockquote&gt;

&lt;p&gt;Most resources explain &lt;strong&gt;how&lt;/strong&gt; something works.&lt;/p&gt;

&lt;p&gt;Very few explain:&lt;/p&gt;

&lt;ul&gt;
&lt;li&gt;Why was it created?&lt;/li&gt;
&lt;li&gt;When should I use it?&lt;/li&gt;
&lt;li&gt;When should I avoid it?&lt;/li&gt;
&lt;li&gt;What are the trade-offs?&lt;/li&gt;
&lt;/ul&gt;

&lt;p&gt;That is the problem I wanted to solve.&lt;/p&gt;




&lt;h2&gt;
  
  
  Introducing: Deep Learning Training Playbook
&lt;/h2&gt;

&lt;p&gt;A practical guide to help engineers make better AI decisions.&lt;/p&gt;

&lt;p&gt;The first part covers:&lt;/p&gt;

&lt;p&gt;✅ Transfer Learning&lt;br&gt;&lt;br&gt;
✅ Foundation Models&lt;br&gt;&lt;br&gt;
✅ Full Fine-Tuning&lt;br&gt;&lt;br&gt;
✅ LoRA&lt;br&gt;&lt;br&gt;
✅ QLoRA&lt;br&gt;&lt;br&gt;
✅ Continued Pretraining&lt;br&gt;&lt;br&gt;
✅ Knowledge Distillation  &lt;/p&gt;

&lt;p&gt;The goal:&lt;/p&gt;

&lt;blockquote&gt;
&lt;p&gt;&lt;strong&gt;Don't memorize AI techniques. Learn when and why to use them.&lt;/strong&gt;&lt;/p&gt;
&lt;/blockquote&gt;




&lt;h2&gt;
  
  
  Open Source
&lt;/h2&gt;

&lt;p&gt;GitHub:&lt;/p&gt;

&lt;p&gt;&lt;a href="https://github.com/wildoctopus/deep-learning-training-playbook" rel="noopener noreferrer"&gt;https://github.com/wildoctopus/deep-learning-training-playbook&lt;/a&gt;&lt;/p&gt;

&lt;p&gt;More chapters coming:&lt;/p&gt;

&lt;ul&gt;
&lt;li&gt;Model Architectures&lt;/li&gt;
&lt;li&gt;Generative AI&lt;/li&gt;
&lt;li&gt;Training Optimization&lt;/li&gt;
&lt;li&gt;Agentic AI&lt;/li&gt;
&lt;li&gt;Production AI Systems&lt;/li&gt;
&lt;/ul&gt;

&lt;p&gt;Built by &lt;strong&gt;WildOctopus 🐙&lt;/strong&gt;&lt;/p&gt;

&lt;p&gt;&lt;em&gt;Turning research papers into practical engineering playbooks.&lt;/em&gt;&lt;/p&gt;




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      <category>machinelearning</category>
      <category>ai</category>
      <category>opensource</category>
      <category>deeplearning</category>
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